- Tytuł:
- Logistic staff managment - ant algorithm for the optimal team creation
- Autorzy:
- Schiff, Krzysztof
- Powiązania:
- https://bibliotekanauki.pl/articles/409194.pdf
- Data publikacji:
- 2019
- Wydawca:
- Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
- Tematy:
-
logistic staff management
three dimensional matching problem
ant colony - Opis:
- During daily logistic management managers often met difficult decision optimization problem concerning company staff. Such problems often rely on matching workers between them and team leader or matching worker to a place and a time slot and often they, menagers want to optimise their resources in order to receive such matches as maximum as possible as regars a cardinality number of a such set. These optimisation problem are often NP-difficults and to solve them menagers need special software tools. To aid managers in such situation artificial methods are used. Between artificials methods is a one called the ant colony optimisation algorithm and why in this article an ant colony optimization algorithm for the maximum cardinality 3-dimensional matching problem is described. The problem is modeled by means of 2-dimensional arrays. The elaborated ant algorithm was compared with another existing ant algorithm and tested for different values of ant algorithm parameters. Results of these tests were presented and discussed. The elaborated algorithm shows its superiority.
- Źródło:
-
Research in Logistics & Production; 2019, 9, 1; 49-59
2083-4942
2083-4950 - Pojawia się w:
- Research in Logistics & Production
- Dostawca treści:
- Biblioteka Nauki
Artykuł